| Literature DB >> 29616147 |
Derick Nii Mensah Osakunor1, Takafira Mduluza2,3, Nicholas Midzi4, Margo Chase-Topping5, Masceline Jenipher Mutsaka-Makuvaza4,6, Theresa Chimponda2, Enwono Eyoh1, Tariro Mduluza2, Lorraine Tsitsi Pfavayi2, Welcome Mkululi Wami1, Seth Appiah Amanfo5, Janice Murray1, Clement Tshuma7, Mark Edward John Woolhouse5,8, Francisca Mutapi1,8.
Abstract
BACKGROUND: Recent research has shown that in schistosome-endemic areas preschool-aged children (PSAC), that is, ≤5 years, are at risk of infection. However, there exists a knowledge gap on the dynamics of infection and morbidity in this age group. In this study, we determined the incidence and dynamics of the first urogenital schistosome infections, morbidity and treatment in PSAC.Entities:
Keywords: Zimbabwe; dynamics; incidence; morbidity; paediatric; praziquantel efficacy; preschool; prevalence; schistosomiasis
Year: 2018 PMID: 29616147 PMCID: PMC5875666 DOI: 10.1136/bmjgh-2017-000661
Source DB: PubMed Journal: BMJ Glob Health ISSN: 2059-7908
Figure 1(A) Schistosoma haematobium infection prevalence with age; prevalence varied with age (P<0.001) and (B) age-predicted probability of infection; prevalence increased as children grew older (P=0.002). (C) S haematobium infection intensity with age; intensity varied with age (P<0.001) and (D) age-predicted intensity of infection; infection intensity increased as children grew older. Error bars indicate 95% CI (A) or SEM (C), and shaded areas indicate 95% CI; (B, D).
Prevalence ratios (PRs) for detected schistosome-related morbidity
| Morbidity | Diagnostic tool | PR (95% CI) |
| Microhaematuria | Urine dipsticks | 12.6 (11.6 to 14.1) |
| Macrohaematuria | Visual inspection (colorimetry) | 3.4 (1.9 to 5.4) |
| Stunting | HAZ | 1.6 (1.05 to 2.31) |
| Malnutrition | WHZ | 1.1 (0.9 to 1.4) |
| MUACZ | 1.5 (1.3 to 1.9) | |
| MUAC | 1.3 (0.8 to 1.9) | |
| Underweight | WAZ | 1.4 (1.2 to 1.6) |
| BAZ | 1.0 (0.8 to 1.3) |
BAZ, body mass index for age Z scores; HAZ, height-for-age Z scores, MUAC, mid-upper arm circumference Z scores; WHZ, weight-for-height Z scores; WAZ, weight-for-age Z scores.
Figure 2Estimated proportion of morbidity attributable to Schistosoma haematobium infection in the infected population (blue; AFe) and in the total population (red; AFp). Error bars indicate 95% CIs. BAZ, body mass index-for-age Z scores; HAZ, height-for-age Z scores; MUAC, mid-upper arm circumference Z scores; WAZ, weight-for-age Z scores; WHZ, weight-for-height Z scores .
Figure 3Forest plot showing (A) the odds of presenting with Schistosoma haematobium infection and (B) odds of presenting with microhaematuria (left) and stunting (right). Error bars indicate the 95% CIs. *P<0.05, ***P<0.001. Non-significant variables were excluded from the final logistic regression model.
Figure 4Impact of Schistosoma haematobium infection and praziquantel (PZQ) treatment on morbidity (microhaematuria). Microhaematuria status for 18 individual participants is shown at three time points: before, during and post infection (post treatment). Each data set (dotted line) represents one individual. Tall, red bars indicate positive microhaematuria, and a black dash indicates negative microhaematuria at specific time points.